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Machine Learning

Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

Artificial IntelligenceContributorsFeaturedMachine LearningTechnology & IT

Breaking down the workforce options for AI developers to structure raw data for machine learning. Here is a look. While it may seem like artificial intelligence (AI) has hit the big time, a lot of work needs to be done before its potential really come to life. In our modern

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BI & AnalyticsBlockchainData NativesMachine LearningStartupsTech TrendsTechnology & IT

How to implement an anonymous data collection scheme that allows the manufacturer to anonymously collect data from its end devices without knowing exactly which device it came from? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19

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BI & AnalyticsBlockchainContributorsData NativesEventsFeaturedInternet of ThingsMachine LearningStartups

Meet investors, Blockchain and crypto enthusiasts, a talent pool of developers and programmers  as they solve three Blockchain challenges over two days in Berlin. Here is why you should be a part of LongHash Cryptocon Vol2. Berlin has been recognised as the cryptocurrency capital of Europe for more than half

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Data NativesFeaturedInternet of ThingsMachine LearningStartupsTech Trends

How do we automate the Smart Machine Bidding procedure for the LPWAN devices in order to reduce the costs of an IoT network? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19 this year. More details here.

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ContributorsMachine LearningMarketing & SalesRetail & ConsumerTechnology & IT

After retailers suffered a bad year with bankruptcies, store closures and lower store footfall, we discuss why now is the time for retailers to invest in data and advanced technologies to boost consumer relations.   Bricks and mortar retailers would sooner forget 2018. The year that brought 16 U.S. bankruptcies,

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Data ScienceFeaturedinfographicsMachine LearningNews

Here is what a recent report says about job opportunities for Data Scientists across Europe including salaries and benefits, job motivations, programming languages used, tech skills and what people want most from their work. Glassdoor names “Data Scientist” as the best job in the United States for 2019 and LinkedIn

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Artificial IntelligenceContributorsFeaturedMachine LearningTech TrendsTechnology & IT

Artificial Intelligence is dominating innovation in companies across the globe- doesn’t matter if they are giant conglomerates or young startups. According to a report by Research and Markets titled Artificial Intelligence Market by Technology, and Industry Vertical – Global Opportunity Analysis and Industry Forecast, 2018-2025, the global Artificial Intelligence market

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Artificial IntelligenceData NativesFeaturedMachine Learning

Perhaps even moreso than even big data or blockchain, AI is fast becoming the buzzword on everyone’s lips. Machine learning has been a promising field for years, but with the astonishing success of deep learning techniques, we’re rapidly being propelled into an automated future. But can AI withstand the hype?

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Artificial IntelligenceFeaturedInterviewsMachine Learning

In terms of pioneering data-based technology, IBM are the gold standard. Indeed, IBM has held the record for receiving the most patents every year for the past 25 years and has developed countless revolutionary technologies, from SQL to the world’s fastest supercomputer. It should come as no surprise that IBM

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ContributorsData NativesMachine LearningMarketing & SalesTech TrendsUnderstanding Big Data

It’s no news that unstructured data has been a highly sought after source since its inception, first for determining public topical insights and now for training machine learning algorithms. The critical question to answer is whether you should outsource the collection to overcome business challenges or not? Mike Madarasz explains

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